We compared Amazon RDS and Google Cloud SQL based on our user's reviews in several parameters.
In summary, Amazon RDS is praised for its ease of use, scalability, high availability, and strong customer support, with users highlighting the automation features and value for money. On the other hand, Google Cloud SQL is lauded for its scalability, integration with other Google services, performance, and affordability, with users appreciating the flexible storage options and efficient customer service. Areas for improvement for Amazon RDS include better documentation and performance optimization tools, while Google Cloud SQL users suggest enhancements in scalability, monitoring tools, and pricing transparency.
Features: Amazon RDS is commended for its ease of use, scalability, high availability, and automated backups. Users appreciate its simplified database management and the ability to easily scale their instances. Google Cloud SQL is praised for its seamless integration with other services, excellent backup and restoration capabilities, and automated maintenance tools. It offers a robust solution for managing databases in the cloud.
Pricing and ROI: The setup cost for Amazon RDS is reported to be minimal and hassle-free, while the setup cost for Google Cloud SQL is well-managed, ensuring a smooth and hassle-free process. Both products have straightforward and transparent licensing terms, providing clarity to users., Amazon RDS users reported a positive ROI, finding value and benefits for their business. Google Cloud SQL users shared their experiences and outcomes of utilizing the product.
Room for Improvement: Amazon RDS users have pointed out the need for better documentation, detailed error messages, improved performance optimization tools, flexible configuration options, third-party tool integration, and a simplified user interface. Google Cloud SQL users also recommended enhancements in performance optimization, scalability, availability, monitoring, management tools, transparent pricing models, documentation, and support resources.
Deployment and customer support: Based on user reviews, the duration required to establish a new tech solution varies between Amazon RDS and Google Cloud SQL. Users reported spending different amounts of time on deployment and setup with Google Cloud SQL, suggesting that these phases should be considered individually. On the other hand, with Amazon RDS, users' feedback indicates that the terms deployment and setup may refer to the same period and should not be evaluated separately., Customers have reported highly satisfactory and reliable customer service from both Amazon RDS and Google Cloud SQL. However, Amazon RDS stands out for its efficient query resolution and helpful guidance, while Google Cloud SQL excels in prompt assistance and quick response times. Additionally, users appreciate the knowledgeable and friendly nature of the support teams in both services.
The summary above is based on 38 interviews we conducted recently with Amazon RDS and Google Cloud SQL users. To access the review's full transcripts, download our report.
"I recommend RDS because it makes your life super easy."
"The solution is good for on-premise deployments."
"The product's installation phase is easy."
"Being able to change the size of an RDS MySQL instance is amazing."
"The time to install or set up a database environment is very fast."
"It is stable, scalable, and easy to deploy."
"The initial setup is straightforward, and technical support is good."
"The solution’s scalability, usability, and availability are valuable to us."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The implementation part of the product was easy."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"The initial setup is straightforward."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"I like using Amazon RDS because it offers quick operations for me. However, there are times when understanding how to use some of the services can be challenging, even with documentation. If I could add a feature, I'd improve navigation for related services."
"Some of the features will not be there. For example, some on-premises things we want to set up will not be supported there. There are some challenges that they are fixing."
"I also don't think it's very scalable."
"There are a few aspects of database management that have room for improvement. There are a few parameters in the solution that are a bit unclear at our end as it's not understandable."
"The product's high price is an area of concern where improvements are required."
"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."
"It would be better if it integrated seamlessly with Microsoft products. Our clients use the Microsoft Tally application server. We already tried to create a reputation from, for example, an on-premises environment from our client to Amazon RDS using Microsoft Tally server, and we couldn't do that because we didn't have a strong user in RDS. We couldn't create a reputation from an on-premises environment from the Microsoft Tally server to RDS. I think that it would be a good implementation, and it would help us with this case."
"AWS support is decent, but it's not as good as before. Sometimes, we get junior staff who are unable to answer our questions. It also depends on the support team you get. Support based in Europe and Australia is better than US support. For example, European support is quick to deliver the right answer. US support handles routine maintenance issues, and it's mostly junior staff who don't know the product well."
"It is hard to do logging with the solution."
"In the case of Google, they need to work on a more easy interface for users."
"The only thing that could be better is the pricing."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"I would like to see better integration with all the different tools on the platform."
"The purging of the data could be better."
Amazon RDS is ranked 1st in Database as a Service with 45 reviews while Google Cloud SQL is ranked 5th in Database as a Service with 16 reviews. Amazon RDS is rated 8.4, while Google Cloud SQL is rated 8.4. The top reviewer of Amazon RDS writes "Provides excellent authentication, authorization, integration, data protection, and autoscaling features". On the other hand, the top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". Amazon RDS is most compared with MongoDB Atlas, SQL Azure, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas Google Cloud SQL is most compared with SQL Azure, MongoDB Atlas, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer. See our Amazon RDS vs. Google Cloud SQL report.
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We monitor all Database as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.